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Recurrent Neural Networks (RNNs)

Recurrent neural networks, or RNNs, are a category of artificial neural networks. They are characterized by the flow of data in multiple directions between layers.

Reinforcement Learning from Human Feedback

Reinforcement learning is a discipline within Machine Learning where an agent (RL agent) learns its actions (that sometimes includes inaction) through real-time interactions with its

Recall (Sensitivity)

Recall refers to the ability of a machine learning model to identify relevant instances of a particular class or category accurately. More specifically, it is

Reinforcement Learning

Reinforcement Learning is a machine learning algorithm that enables computers to make decisions in dynamic and potentially complex environments. It is a subfield of machine

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